Ilias Chalkidis
- Artificial Intelligence top 5%
- Political Science and International Relations top 2%
- Law top 1%
- Economics and Econometrics
- Information Systems
- Co-authors
- Ion AndroutsopoulosΝικόλαος ΑλέτραςProdromos MalakasiotisAbhik JanaDirk HartungMichael James BommaritoDaniel KatzDesmond Elliott
- Topics
- Topic Modeling (14 papers)Artificial Intelligence in Law (14 papers)Natural Language Processing Techniques (12 papers)
- Journals
- Finance research lettersArtificial Intelligence and LawResearch at the University of Copenhagen (University of Copenhagen)
- Partner nations
- DenmarkGreeceUnited Kingdom
In The Last Decade
Ilias Chalkidis
28 papers receiving 592 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 441
- Political Science and International Relations 301
- Law 119
- Economics and Econometrics 60
- Information Systems 44
Countries citing papers authored by Ilias Chalkidis
This map shows the geographic impact of Ilias Chalkidis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ilias Chalkidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilias Chalkidis more than expected).
Fields of papers citing papers by Ilias Chalkidis
This network shows the impact of papers produced by Ilias Chalkidis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ilias Chalkidis. The network helps show where Ilias Chalkidis may publish in the future.
Co-authorship network of co-authors of Ilias Chalkidis
This figure shows the co-authorship network connecting the top 25 collaborators of Ilias Chalkidis. A scholar is included among the top collaborators of Ilias Chalkidis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ilias Chalkidis. Ilias Chalkidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 30 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 24 | |
| 15 | 52 | |
| 16 | LexGLUE: A Benchmark Dataset for Legal Language Understanding in Englishbreakdown → | 62 |
| 17 | 1 | |
| 18 | 39 | |
| 19 | Neural Contract Element Extraction Revisited | 6 |
| 20 | Deep learning in law: early adaptation and legal word embeddings trained on large corporabreakdown → | 106 |
About Ilias Chalkidis
Ilias Chalkidis is a scholar working on Health Informatics, Political Science and International Relations and Law, having authored 30 papers that have together received 638 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Artificial Intelligence in Law (14 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Political Science and International Relations (301 citations) and Law (119 citations). Ilias Chalkidis has collaborated with scholars based in Denmark, Greece and United Kingdom. Frequent co-authors include Ion Androutsopoulos, Νικόλαος Αλέτρας, Prodromos Malakasiotis, Abhik Jana, Dirk Hartung, Michael James Bommarito, Daniel Katz, Desmond Elliott, Sune Darkner and Xiang Dai. Their work appears in journals such as Finance research letters, Artificial Intelligence and Law and Research at the University of Copenhagen (University of Copenhagen).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.