Nirwan Sharma

472 total citations
24 papers, 317 citations indexed

About

Nirwan Sharma is a scholar working on Ecological Modeling, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Nirwan Sharma has authored 24 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecological Modeling, 9 papers in Social Psychology and 7 papers in Artificial Intelligence. Recurrent topics in Nirwan Sharma's work include Species Distribution and Climate Change (12 papers), Animal and Plant Science Education (9 papers) and Data Visualization and Analytics (5 papers). Nirwan Sharma is often cited by papers focused on Species Distribution and Climate Change (12 papers), Animal and Plant Science Education (9 papers) and Data Visualization and Analytics (5 papers). Nirwan Sharma collaborates with scholars based in United Kingdom, Poland and Sweden. Nirwan Sharma's co-authors include René van der Wal, Advaith Siddharthan, Chris Mellish, H Anderson, Robert Lew, Jonathan C. Roberts, Ana Frankenberg‐Garcia, Richard Comont, Laura Colucci‐Gray and Ben Darvill and has published in prestigious journals such as Scientific Reports, Conservation Biology and Journal of Environmental Management.

In The Last Decade

Nirwan Sharma

23 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirwan Sharma United Kingdom 9 158 96 61 54 53 24 317
Ritwik Kulkarni South Africa 8 64 0.4× 73 0.8× 23 0.4× 19 0.4× 109 2.1× 12 324
Maria Aristeidou United Kingdom 11 259 1.6× 174 1.8× 38 0.6× 50 0.9× 39 0.7× 37 604
Daniel Dörler Austria 10 235 1.5× 128 1.3× 45 0.7× 48 0.9× 91 1.7× 19 466
Barbara Kieslinger Austria 10 132 0.8× 70 0.7× 20 0.3× 19 0.4× 27 0.5× 37 372
Ionica Smeets Netherlands 8 66 0.4× 121 1.3× 24 0.4× 16 0.3× 24 0.5× 35 285
Kerstin Kremer Germany 13 134 0.8× 157 1.6× 19 0.3× 32 0.6× 35 0.7× 29 611
Yaela N. Golumbic Israel 11 190 1.2× 138 1.4× 18 0.3× 51 0.9× 21 0.4× 22 459
Carol Boston United States 7 140 0.9× 77 0.8× 12 0.2× 30 0.6× 26 0.5× 18 381
A. Mark Langan United Kingdom 13 37 0.2× 27 0.3× 124 2.0× 58 1.1× 71 1.3× 22 612
Yurong He United States 11 235 1.5× 127 1.3× 22 0.4× 47 0.9× 54 1.0× 18 495

Countries citing papers authored by Nirwan Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Nirwan Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirwan Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Nirwan Sharma. A scholar is included among the top collaborators of Nirwan Sharma 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 Nirwan Sharma. Nirwan Sharma 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
1.
Colucci‐Gray, Laura, Andrew Manches, Julie Newman, et al.. (2025). ‘ To touch is to know' : haptic inquiry for primary school citizen science. International Journal of Science Education Part B. 15(3). 360–376.
2.
Mikroyannidis, Alexander, et al.. (2024). Using Generative AI and ChatGPT for improving the production of distance learning materials. 188–192. 1 indexed citations
3.
Sharma, Nirwan, et al.. (2024). Image Recognition as a “Dialogic AI Partner” Within Biodiversity Citizen Science—an empirical investigation. Citizen Science Theory and Practice. 9(1). 1 indexed citations
4.
Colucci‐Gray, Laura, Andrea Sforzi, Julie Newman, et al.. (2023). X-Polli:Nation: Contributing Towards Sustainable Development Goals Through School-Based Pollinator Citizen Science. Citizen Science Theory and Practice. 8(1). 48–48. 1 indexed citations
5.
Arts, Koen, Yolanda Melero, Nirwan Sharma, et al.. (2020). On the merits and pitfalls of introducing a digital platform to aid conservation management: Volunteer data submission and the mediating role of volunteer coordinators. Journal of Environmental Management. 265. 110497–110497. 12 indexed citations
6.
Anderson, H, Advaith Siddharthan, Nirwan Sharma, et al.. (2020). Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators. Scientific Reports. 10(1). 20483–20483. 7 indexed citations
7.
Roberts, Jonathan C., et al.. (2020). Visualising Collocation for Close Writing. Eurographics. 1 indexed citations
8.
Roberts, Jonathan C., et al.. (2019). Multiple Views: different meanings and collocated words. Computer Graphics Forum. 38(3). 79–93. 10 indexed citations
9.
Sharma, Nirwan, Advaith Siddharthan, H Anderson, et al.. (2019). From citizen science to citizen action: analysing the potential for a digital platform to cultivate attachments to nature. Journal of Science Communication. 18(1). A07–A07. 38 indexed citations
10.
Sharma, Nirwan, Laura Colucci‐Gray, Advaith Siddharthan, Richard Comont, & René van der Wal. (2019). Designing online species identification tools for biological recording: the impact on data quality and citizen science learning. PeerJ. 6. e5965–e5965. 22 indexed citations
11.
Frankenberg‐Garcia, Ana, et al.. (2018). Developing a writing assistant to help EAP writers with collocations in real time. ReCALL. 31(1). 23–39. 35 indexed citations
12.
Lew, Robert, et al.. (2018). ColloCaid: A real-time tool to help academic writers with English collocations”. Bangor University Research Portal (Bangor University). 1 indexed citations
13.
Roberts, Jonathan C., et al.. (2018). Visualisation Approaches for Corpus Linguistics: Towards Visual Integration of Data-Driven Learning. Surrey Research Insight Open Access (The University of Surrey). 1 indexed citations
14.
Siddharthan, Advaith, H Anderson, Nirwan Sharma, et al.. (2017). Bumblebee friendly planting recommendations with citizen science data. 1–6. 8 indexed citations
15.
Wal, René van der, et al.. (2016). The role of automated feedback in training and retaining biological recorders for citizen science. Conservation Biology. 30(3). 550–561. 75 indexed citations
16.
Siddharthan, Advaith, et al.. (2016). Crowdsourcing Without a Crowd. ACM Transactions on Intelligent Systems and Technology. 7(4). 1–20. 20 indexed citations
17.
Wal, René van der, H Anderson, Nirwan Sharma, et al.. (2015). Mapping species distributions: A comparison of skilled naturalist and lay citizen science recording. AMBIO. 44(S4). 584–600. 45 indexed citations
18.
Arts, Koen, et al.. (2013). Capturing mink and data : Interacting with a small and dispersed environmental initiative over the introduction of digital innovation. Aberdeen University Research Archive (Aberdeen University). 7 indexed citations
19.
Siddharthan, Advaith, Hien Nguyen, Nirwan Sharma, et al.. (2012). Natural Language Generation for Nature Conservation: Automating Feedback to Help Volunteers Identify Bumblebee Species. Aberdeen University Research Archive (Aberdeen University). 311–324. 13 indexed citations
20.
Velaga, Nagendra R., John D. Nelson, Peter Edwards, et al.. (2012). Development of a Map-Matching Algorithm for Rural Passenger Information Systems through Mobile Phones and Crowd Sourcing. Journal of Computing in Civil Engineering. 27(6). 732–742. 4 indexed citations

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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