Prashant Shiralkar

872 total citations · 1 hit paper
10 papers, 369 citations indexed

About

Prashant Shiralkar is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Prashant Shiralkar has authored 10 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 1 paper in Sociology and Political Science. Recurrent topics in Prashant Shiralkar's work include Web Data Mining and Analysis (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (3 papers). Prashant Shiralkar is often cited by papers focused on Web Data Mining and Analysis (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (3 papers). Prashant Shiralkar collaborates with scholars based in United States, India and Germany. Prashant Shiralkar's co-authors include Luís M. Rocha, Giovanni Luca Ciampaglia, Johan Bollen, Filippo Menczer, Alessandro Flammini, Xin Luna Dong, Arash Einolghozati, Hannaneh Hajishirzi, Dong Xin and Ritesh Sarkhel and has published in prestigious journals such as PLoS ONE and Proceedings of the VLDB Endowment.

In The Last Decade

Prashant Shiralkar

8 papers receiving 337 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computational Fact Checking from Knowledge Networks

2015 270 citations Giovanni Luca Ciampaglia, Prashant Shiralkar et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prashant Shiralkar United States	6	218	214	151	48	44	10	369
Kashyap Popat Germany	9	396 1.8×	418 2.0×	253 1.7×	21 0.4×	17 0.4×	14	570
Janek Bevendorff Germany	8	388 1.8×	401 1.9×	310 2.1×	10 0.2×	45 1.0×	17	598
Abolfazl AleAhmad Iran	10	69 0.3×	189 0.9×	126 0.8×	22 0.5×	25 0.6×	16	384
Johann Petrak United Kingdom	8	67 0.3×	311 1.5×	92 0.6×	28 0.6×	25 0.6×	15	395
Tianjun Fu United States	9	77 0.4×	155 0.7×	151 1.0×	16 0.3×	26 0.6×	11	320
Raquel Martínez Spain	8	51 0.2×	145 0.7×	96 0.6×	22 0.5×	37 0.8×	16	250
Justin Martineau United States	9	39 0.2×	460 2.1×	163 1.1×	44 0.9×	20 0.5×	17	571
Fattane Zarrinkalam Canada	10	71 0.3×	166 0.8×	153 1.0×	15 0.3×	29 0.7×	33	293
Elena Kochkina United Kingdom	8	319 1.5×	351 1.6×	181 1.2×	6 0.1×	20 0.5×	16	474
Nguyen Vo United States	8	108 0.5×	163 0.8×	91 0.6×	9 0.2×	12 0.3×	20	253

Countries citing papers authored by Prashant Shiralkar

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Shiralkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Shiralkar

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Li, Yinghao, et al.. (2023). Extracting Shopping Interest-Related Product Types from the Web. 7509–7525.

2.

Sarkhel, Ritesh, et al.. (2023). Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages. Proceedings of the VLDB Endowment. 16(11). 3098–3110. 3 indexed citations

3.

Shiralkar, Prashant, et al.. (2020). Web-scale Knowledge Collection. 888–889. 2 indexed citations

4.

Dong, Xin Luna, et al.. (2020). Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. 3543–3544. 5 indexed citations

5.

Xin, Dong, et al.. (2020). Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. 23–26. 6 indexed citations

6.

Shiralkar, Prashant, et al.. (2019). Open. 3047–3056. 12 indexed citations

7.

Dong, Xin Luna, et al.. (2018). CERES. Proceedings of the VLDB Endowment. 11(10). 1084–1096. 33 indexed citations

8.

Ciampaglia, Giovanni Luca, Prashant Shiralkar, Luís M. Rocha, et al.. (2015). Computational Fact Checking from Knowledge Networks. PLoS ONE. 10(6). e0128193–e0128193. 270 indexed citations breakdown →

9.

Ciampaglia, Giovanni Luca, Prashant Shiralkar, Luís M. Rocha, et al.. (2015). Correction: Computational Fact Checking from Knowledge Networks. PLoS ONE. 10(10). e0141938–e0141938. 38 indexed citations

10.

Shiralkar, Prashant. (2014). Use of periodicals in Engineering College Libraries under North Maharashtra University, Jalgaon. 6(3). 35–39.

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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