Harsh Thakkar

469 total citations
16 papers, 164 citations indexed

About

Harsh Thakkar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Harsh Thakkar has authored 16 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Harsh Thakkar's work include Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (6 papers) and Data Quality and Management (5 papers). Harsh Thakkar is often cited by papers focused on Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (6 papers) and Data Quality and Management (5 papers). Harsh Thakkar collaborates with scholars based in Germany, Chile and United Kingdom. Harsh Thakkar's co-authors include Renzo Angles, A. L. Pope, Mahesan Anpalahan, Jens Lehmann, Sören Auer, Christoph Lange, R. Swaminathan, Mohnish Dubey, Jeremy Debattista and Saeedeh Shekarpour and has published in prestigious journals such as Annals of the New York Academy of Sciences, IEEE Access and Heart Lung and Circulation.

In The Last Decade

Harsh Thakkar

16 papers receiving 157 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Harsh Thakkar Germany 8 81 42 41 37 32 16 164
Zhaojing Luo China 9 113 1.4× 37 0.9× 37 0.9× 16 0.4× 10 0.3× 20 199
Nathalie Hernández France 7 94 1.2× 17 0.4× 29 0.7× 16 0.4× 8 0.3× 26 172
Gourab Kundu United States 8 167 2.1× 41 1.0× 12 0.3× 28 0.8× 5 0.2× 16 222
Benedikt Kämpgen Germany 7 68 0.8× 10 0.2× 36 0.9× 24 0.6× 4 0.1× 19 144
Manoranjan Parhi India 10 86 1.1× 21 0.5× 65 1.6× 17 0.5× 9 0.3× 36 226
Qaiser Mehmood Ireland 8 100 1.2× 22 0.5× 31 0.8× 27 0.7× 2 0.1× 21 162
Namrata Singh India 6 133 1.6× 38 0.9× 12 0.3× 11 0.3× 7 0.2× 10 238
Daan Fierens Belgium 9 194 2.4× 30 0.7× 22 0.5× 17 0.5× 6 0.2× 22 239
Ritika Mehra India 7 67 0.8× 11 0.3× 21 0.5× 16 0.4× 26 0.8× 22 231

Countries citing papers authored by Harsh Thakkar

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Thakkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsh Thakkar

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

All Works

16 of 16 papers shown
1.
Thakkar, Harsh, et al.. (2023). Sentiment and Statistical Analysis on Custom Twitter Dataset for 2022 Russo-Ukrainian Conflict. 679–684. 1 indexed citations
2.
Angles, Renzo, et al.. (2020). Mapping RDF Databases to Property Graph Databases. IEEE Access. 8. 86091–86110. 34 indexed citations
3.
Angles, Renzo, et al.. (2020). PGO: Describing Property Graphs in RDF. IEEE Access. 8. 118355–118369. 4 indexed citations
4.
Thakkar, Harsh, et al.. (2020). Let's build Bridges, not Walls: SPARQL Querying of TinkerPop Graph Databases with Sparql-Gremlin. 21. 408–415. 6 indexed citations
5.
Angles, Renzo, et al.. (2019). RDF and Property Graphs Interoperability: Status and Issues.. 20 indexed citations
6.
Thakkar, Harsh, A. L. Pope, & Mahesan Anpalahan. (2019). Masked Hypertension: A Systematic Review. Heart Lung and Circulation. 29(1). 102–111. 38 indexed citations
7.
Thakkar, Harsh, et al.. (2019). Singleton Property Graph: Adding A Semantic Web Abstraction Layer to Graph Databases.. 4 indexed citations
8.
Thakkar, Harsh, et al.. (2018). MED-IoT: A Medicine Confirmation System. 5. 1–5. 1 indexed citations
9.
Thakkar, Harsh, et al.. (2018). Towards Capturing Contextual Semantic Information About Statements in Web Tables.. 1 indexed citations
10.
Thakkar, Harsh, et al.. (2018). Two for one. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 9 indexed citations
11.
Thakkar, Harsh, et al.. (2017). Trying Not to Die Benchmarking. 2016. 120–127. 8 indexed citations
12.
Thakkar, Harsh, et al.. (2017). Dataset Reuse. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 3 indexed citations
13.
Thakkar, Harsh, et al.. (2016). Are Linked Datasets fit for Open-domain Question Answering? A Quality Assessment. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–12. 9 indexed citations
14.
Shekarpour, Saeedeh, et al.. (2016). Question Answering on Linked Data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 693–698. 9 indexed citations
15.
Thakkar, Harsh, et al.. (2014). Team IRLabDAIICT at ShARe/CLEF eHealth 2014 Task 3: User-centered Information Retrieval system for Clinical Documents. CLEF (Working Notes). 248–259. 3 indexed citations
16.
Thakkar, Harsh, et al.. (2008). Stability of β‐Actin mRNA in Plasma. Annals of the New York Academy of Sciences. 1137(1). 108–111. 14 indexed citations

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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