Hristo Tanev

41 papers receiving 433 citations

Peers

Hristo Tanev
Comparison fields: 5 of 45
  • Artificial Intelligence 509
  • Information Systems 142
  • Sociology and Political Science 25
  • Management Science and Operations Research 24
  • Molecular Biology 22
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Johann Petrak United Kingdom
Marina Litvak Israel
Christian M. Meyer Germany
Jagadeesh Jagarlamudi United States
Evgeny Kotelnikov Russia
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Hristo Tanev

Since Specialization
Citations

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

Fields of papers citing papers by Hristo Tanev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hristo Tanev

This figure shows the co-authorship network connecting the top 25 collaborators of Hristo Tanev. A scholar is included among the top collaborators of Hristo Tanev 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 Hristo Tanev. Hristo Tanev 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
Monitoring disaster impact: detecting micro-events and eyewitness reports in mainstream and social media.
9
2
Semi-automatic Acquisition of Lexical Resources and Grammars for Event Extraction in Bulgarian and Czech
1
3
FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
6
4
Detecting Event-Related Links and Sentiments from Social Media Texts
1
5
Detecting Entity-Related Events and Sentiments from Tweets Using Multilingual Resources
7
6
JRC's Participation at TAC 2011: Guided and Multilingual Summarization Tasks
14
7
Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation
3
8 20
9
Online-Monitoring of Security-Related Events
3
10
Extraction of Definitions for Bulgarian.
1
11
Weakly Supervised Approaches for Ontology Population
18
12
Bridging Languages for Question Answering.
0
13
Scaling Web-based Acquisition of Entailment Relations.
118
14
Combining Linguistic Processing and Web Mining for Question Answering: ITC-irst at TREC 2004.
5
15
Multilingual Pattern Libraries for Question Answering: a Case Study for Definition Questions.
1
16
Socrates: A question answering prototype for Bulgarian.
4
17
ITC-irst at TREC-2003: the DIOGENE QA system
6
18
Towards Automatic Evaluation of Question/Answering Systems
3
19
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.
9
20 1

About Hristo Tanev

Hristo Tanev is a scholar working on Artificial Intelligence, General Social Sciences and Communication, having authored 46 papers that have together received 548 indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (27 papers) and Advanced Text Analysis Techniques (21 papers). The work is most often cited by research in Artificial Intelligence (509 citations), Information Systems (142 citations) and General Social Sciences (14 citations). Hristo Tanev has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Bernardo Magnini, Matteo Negri, Roberto Prevete, Idan Szpektor, Ido Dagan, Bonaventura Coppola, Vanni Zavarella, Ralf Steinberger, Josef Steinberger and Jakub Piskorski. Their work appears in journals such as Decision Support Systems, Language Resources and Evaluation and Natural Language Engineering.

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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