Anuj A. Verma

10 total papers · 1.0k total citations
7 papers, 925 citations indexed

About

Anuj A. Verma is a scholar working on Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Anuj A. Verma has authored 7 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Catalysis and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Anuj A. Verma's work include Catalytic Processes in Materials Science (6 papers), Catalysis and Oxidation Reactions (4 papers) and Electrocatalysts for Energy Conversion (3 papers). Anuj A. Verma is often cited by papers focused on Catalytic Processes in Materials Science (6 papers), Catalysis and Oxidation Reactions (4 papers) and Electrocatalysts for Energy Conversion (3 papers). Anuj A. Verma collaborates with scholars based in United States, India and Canada. Anuj A. Verma's co-authors include W. Nicholas Delgass, Fabio H. Ribeiro, Shane A. Bates, Jeffrey T. Miller, Christopher Paolucci, William F. Schneider, Rajamani Gounder, Trunojoyo Anggara, Aleksey Yezerets and Vincent F. Kispersky and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Catalysis.

In The Last Decade

Anuj A. Verma

7 papers receiving 913 citations

Author Peers

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

Author Last Decade Papers Cites
Anuj A. Verma 869 625 273 222 157 7 925
Shane A. Bates 928 1.1× 665 1.1× 310 1.1× 235 1.1× 158 1.0× 6 1.0k
Anita Godiksen 913 1.1× 611 1.0× 227 0.8× 198 0.9× 203 1.3× 11 989
Stéphane Kieger 788 0.9× 596 1.0× 225 0.8× 194 0.9× 75 0.5× 13 849
Hangchun Hu 920 1.1× 750 1.2× 192 0.7× 150 0.7× 72 0.5× 8 1.0k
Kengo Aranishi 844 1.0× 450 0.7× 232 0.8× 236 1.1× 228 1.5× 12 1.0k
Lisa J. Lobree 819 0.9× 662 1.1× 281 1.0× 86 0.4× 53 0.3× 7 892
Adam W. Aylor 800 0.9× 612 1.0× 273 1.0× 79 0.4× 55 0.4× 10 866
Fabio Milella 737 0.8× 412 0.7× 189 0.7× 83 0.4× 114 0.7× 12 858
Wolfgang Grünert 883 1.0× 541 0.9× 121 0.4× 153 0.7× 192 1.2× 9 1.0k
Ágnes Szécsényi 832 1.0× 590 0.9× 472 1.7× 80 0.4× 228 1.5× 9 1.0k

Countries citing papers authored by Anuj A. Verma

Since Specialization
Citations

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

Fields of papers citing papers by Anuj A. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anuj A. Verma. 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 Anuj A. Verma. The network helps show where Anuj A. Verma may publish in the future.

Co-authorship network of co-authors of Anuj A. Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj A. Verma. A scholar is included among the top collaborators of Anuj A. Verma 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 Anuj A. Verma. Anuj A. Verma 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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