[Feature Req] Generate a timeline with the landmarks studies (most cited) of the recent years about the field investigated by the article

[Emasoft]

STORM is currently lacking something basic: a way to give the reader an up-to-date overview of the field touched by the subject. Every article written by STORM, like any paper, needs to make an introductory recollection of the state and evolution of the field investigated by the article. Currently, STORM provides only generic introductions about the field as if they would be static things, taken from old websites or wiki/encyclopedia-like sites, unable to give a fresh and up-to-date view of the field with key events relevant to the subject.

No matter what the subject is, to gather an understanding of a field of knowledge you must build a timeline of its recent history, developments, and landmarks. If not from the beginning of time, at least from the last 10 years.
To do such a thing STORM needs to instruct an agent to do the following procedure:

1. Use Google Scholar to identify the publications relative to the field of the last 10 years.
2. Use Google Scholar (or other websites that track citations) to identify all the papers among those found in the last 10 years with a citation index above the average of the same field.
3. For each one of those papers, extract the title, abstract, and citation details.
4. Order the data about the papers according to the publication time.
5. For each paper generate a quick summary from the title and the abstracts, adding as a weight the citation index to mark the importance.
6. Use those chronologically ordered sequences of summaries to generate a nicely formatted timeline with landmark studies of the last 10 years about the field touched by the article.
7. If the timeline is too long, generate a long summary of the recent developments in the field from the timeline text.
8. Put the timeline (or the summary of recent advancements) just after the introduction and the definition of the field touched by the article.

P.S.
The above method only works for fields of study. For entertainment fields, like media (songs, novels, web novels, videogames, tabletop games, movies, TV shows, YouTube channels, etc.) or sports, you can still make a similar timeline taking instead of papers with most citations the media artifacts more popular of the last 10 years for the genre touched by the article. For example, horror movies, techno music, fantasy novels, RPG games, etc. have all websites reporting the number of tickets sold, copies rented, track listened to, TV ratings, users or gamers subscribed, etc. STORM should browse those websites to collect the data and identify the most popular media artifacts of the last 10 years belonging to the genre investigated by the article, and, from that data, produce a timeline of the genre development and trends. It is even easier for sports: the scores and points of sports teams (or of single athletes) are already available everywhere in nicely formatted tables, and it would be easy for STORM to collect and use those to write a timeline tracking the most successful ones.