Prodromos Malakasiotis

20 papers receiving 363 citations

Peers

Prodromos Malakasiotis
Comparison fields: 5 of 41
  • Artificial Intelligence 372
  • Information Systems 71
  • Political Science and International Relations 52
  • Computer Vision and Pattern Recognition 27
  • Management Science and Operations Research 22
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Zhunchen Luo China
Jack G. Conrad United States
Michael A. Specter United States
Jason R. Baron United States
Dan Tufiş Romania
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Nut Limsopatham United Kingdom
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Ngo Xuan Bach Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by Prodromos Malakasiotis

Since Specialization
Citations

This map shows the geographic impact of Prodromos Malakasiotis'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 Prodromos Malakasiotis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prodromos Malakasiotis more than expected).

Fields of papers citing papers by Prodromos Malakasiotis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prodromos Malakasiotis. 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 Prodromos Malakasiotis. The network helps show where Prodromos Malakasiotis may publish in the future.

Co-authorship network of co-authors of Prodromos Malakasiotis

This figure shows the co-authorship network connecting the top 25 collaborators of Prodromos Malakasiotis. A scholar is included among the top collaborators of Prodromos Malakasiotis 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 Prodromos Malakasiotis. Prodromos Malakasiotis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 24
5 9
6 39
7
Neural Contract Element Extraction Revisited
6
8 30
9 89
10 21
11
Biomedical Question-focused Multi-document Summarization: ILSP and AUEB at BioASQ3.
5
12
A tool suite for creating question answering benchmarks
0
13
nlp.cs.aueb.gr: Two Stage Sentiment Analysis
2
14
A Generate and Rank Approach to Sentence Paraphrasing
7
15
AUEB at TAC 2009
7
16 46
17 2
18
AUEB at TAC 2008
12
19 69
20 5

About Prodromos Malakasiotis

Prodromos Malakasiotis is a scholar working on Artificial Intelligence, Management Information Systems and Signal Processing, having authored 24 papers that have together received 417 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (372 citations), Information Systems (71 citations) and Political Science and International Relations (52 citations). Prodromos Malakasiotis has collaborated with scholars based in Greece, United Kingdom and Denmark. Frequent co-authors include Ion Androutsopoulos, John Pavlopoulos, Ilias Chalkidis, Νικόλαος Αλέτρας, Dimitrios Tsarapatsanis, Dimitrios Galanis, Marianna Apidianaki, Dionysios P. Xenos, Γεώργιος Παλιούρας and Vasilis Vassalos. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories and Empirical Methods in Natural Language Processing.

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.

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