Kshitij Mehta

46 total papers · 523 total citations
13 papers, 62 citations indexed

About

Kshitij Mehta is a scholar working on Materials Chemistry, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Kshitij Mehta has authored 13 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Computer Networks and Communications and 6 papers in Information Systems and Management. Recurrent topics in Kshitij Mehta's work include Machine Learning in Materials Science (7 papers), Scientific Computing and Data Management (6 papers) and Distributed and Parallel Computing Systems (6 papers). Kshitij Mehta is often cited by papers focused on Machine Learning in Materials Science (7 papers), Scientific Computing and Data Management (6 papers) and Distributed and Parallel Computing Systems (6 papers). Kshitij Mehta collaborates with scholars based in United States and Japan. Kshitij Mehta's co-authors include Pei Zhang, Stephan Irle, Pilsun Yoo, Andrew E. Blanchard, Jong Youl Choi, Matthew Wolf, Angelica M. Walker, Jeremy Logan, Ashley Cliff and Daniel Jacobson and has published in prestigious journals such as Scientific Reports, Scientific Data and Journal of Cheminformatics.

In The Last Decade

Kshitij Mehta

11 papers receiving 62 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kshitij Mehta	26	22	21	15	13	13	62
Pengfei Xuan	13 0.5×	22 1.0×	14 0.7×	23 1.5×	10 0.8×	8	85
N. A. Naumann	7 0.3×	51 2.3×	23 1.1×	5 0.3×	6 0.5×	17	94
Hans W. Meuer	5 0.2×	68 3.1×	6 0.3×	20 1.3×	7 0.5×	14	114
Samantha S. Foley	10 0.4×	28 1.3×	17 0.8×	6 0.4×	2 0.2×	14	81
René Jäkel	4 0.2×	36 1.6×	40 1.9×	21 1.4×	2 0.2×	16	65
Mohammad Awedh	11 0.4×	4 0.2×	4 0.2×	6 0.4×	10 0.8×	18	100
M. S. Neubauer	4 0.2×	26 1.2×	12 0.6×	15 1.0×	1 0.1×	21	76
K. Wrona	4 0.2×	13 0.6×	5 0.2×	16 1.1×		12	66
Tamara Dahlgren	4 0.2×	68 3.1×	36 1.7×	30 2.0×	3 0.2×	12	94
R. Taylor	3 0.1×	48 2.2×	23 1.1×	24 1.6×		20	83

Countries citing papers authored by Kshitij Mehta

Since Specialization

Citations

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

Fields of papers citing papers by Kshitij Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kshitij Mehta

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

All Works

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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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