Harshit

497 citations
23 papers · 303 · h-index 6

Impact in

Papers in

Harshit

20 papers receiving 298 citations

Peers

Harshit
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 187
  • Safety, Risk, Reliability and Quality 36
  • Human-Computer Interaction 17
  • Condensed Matter Physics 17
  • Catalysis 10
Replace Sheng Xie with:
Sheng Xie China
Kuang Liu United States
Fan Chen China
Pierre‐Yves Chevalier France
Hyoung-Sub Kim South Korea
Jae-Kyu Lee South Korea
Andrejs Vorozcovs Canada
Edward Buckley United Kingdom
Keyuan Qian China
Mark O. Freeman United States
Harshit relative to Sheng Xie China Sheng Xie's profile →
Citations per field
00.5×2×3.3×
Sheng Xie · 1×
Citations per year

Countries citing papers authored by Harshit

Since Specialization
Citations

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

Fields of papers citing papers by Harshit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Harshit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Harshit Line = papers co-authored together Harshit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020210
2 201618
3 202110
4 20229
5 20218
6 20227
7 20246
8 20226
9 20204
10 20214
11 20214
12 20224
13
Oxidised polyacrylonitrile fibre as a flame retardant material
20162
14 20232
15 20222
16 20222
17 20212
18 20231
19 20231
20 20231

About Harshit

Harshit is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Materials Chemistry and Modeling and Simulation, having authored 23 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (5 papers), Quasicrystal Structures and Properties (5 papers), Rare-earth and actinide compounds (5 papers), COVID-19 epidemiological studies (2 papers), COVID-19 diagnosis using AI (2 papers), Iron-based superconductors research (2 papers), Hydrogen Storage and Materials (2 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Safety, Risk, Reliability and Quality (36 citations), Human-Computer Interaction (17 citations), Condensed Matter Physics (17 citations) and Catalysis (10 citations). Harshit has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Mingzhen Huang, Sijia Yu, Chunyuan Liao, Yong Xu, Peng Chu, Ge Deng, Fan Yang, Lin Yuan, Hexin Bai and Haibin Ling. Their work appears in journals such as Journal of Solid State Chemistry, European Journal of Inorganic Chemistry, Inorganic Chemistry, Zeitschrift für Kristallographie - Crystalline Materials and International Journal of Computer Vision.

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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