Neerja Jha

662 total citations
52 papers, 543 citations indexed

About

Neerja Jha is a scholar working on Paleontology, Artificial Intelligence and Earth-Surface Processes. According to data from OpenAlex, Neerja Jha has authored 52 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Paleontology, 22 papers in Artificial Intelligence and 22 papers in Earth-Surface Processes. Recurrent topics in Neerja Jha's work include Paleontology and Stratigraphy of Fossils (30 papers), Geological formations and processes (22 papers) and Geochemistry and Geologic Mapping (22 papers). Neerja Jha is often cited by papers focused on Paleontology and Stratigraphy of Fossils (30 papers), Geological formations and processes (22 papers) and Geochemistry and Geologic Mapping (22 papers). Neerja Jha collaborates with scholars based in India, Sri Lanka and United States. Neerja Jha's co-authors include Neha Aggarwal, Rajni Tewari, S.C. Srivastava, Anjum Farooqui, Arun Kumar, Biswajeet Thakur, Naresh C. Mehrotra, Neha Aggarwal, M. Saleem and Michael E. Brookfield and has published in prestigious journals such as SHILAP Revista de lepidopterología, Palaeogeography Palaeoclimatology Palaeoecology and Journal of Asian Earth Sciences.

In The Last Decade

Neerja Jha

47 papers receiving 384 citations

Peers

Neerja Jha
Comparison fields: 5 of 33
  • Paleontology 357
  • Atmospheric Science 220
  • Ecology, Evolution, Behavior and Systematics 201
  • Earth-Surface Processes 182
  • Geophysics 117
Replace Rajni Tewari with:
Rajni Tewari India
Miriam Cazzulo-Klepzig Brazil
John Filatoff Belgium
Srikanta Murthy India
Marco Roscher Germany
Merrell A. Miller United States
Kenneth T. Higgs Ireland
José Henrique G. Melo Brazil
Mercedes Di Pasquo Argentina
Pierre Breuer Saudi Arabia
Rajni Tewari India View profile →
Citations per field, relative to Neerja Jha
Neerja Jha · 1×
Citations per year, relative to Neerja Jha
Neerja Jha · 1×

Countries citing papers authored by Neerja Jha

Since Specialization
Citations

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

Fields of papers citing papers by Neerja Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neerja Jha

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 36
3 5
4
First Find of Trichothyrites, Notothyrites and Frasnacritetrus from Permian Gondwana Sediments of Godavari Graben, India
4
5 5
6 6
7 0
8 4
9 12
10 0
11 3
12 5
13 7
14
Palynology of subsurface Permian sediments in Koyagudem area, Godavari Graben, Andhra Pradesh
10
15 1
16 22
17 2
18 12
19 10
20 1

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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