Shirishkumar Gedam

578 total citations
34 papers, 405 citations indexed

About

Shirishkumar Gedam is a scholar working on Global and Planetary Change, Water Science and Technology and Oceanography. According to data from OpenAlex, Shirishkumar Gedam has authored 34 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 11 papers in Water Science and Technology and 10 papers in Oceanography. Recurrent topics in Shirishkumar Gedam's work include Marine and coastal ecosystems (9 papers), Flood Risk Assessment and Management (8 papers) and Hydrology and Drought Analysis (6 papers). Shirishkumar Gedam is often cited by papers focused on Marine and coastal ecosystems (9 papers), Flood Risk Assessment and Management (8 papers) and Hydrology and Drought Analysis (6 papers). Shirishkumar Gedam collaborates with scholars based in India, Japan and United States. Shirishkumar Gedam's co-authors include Satyavati Shukla, Sampad Kumar Panda, Girija Rajaram, Han Soo Lee, R. Latha, Brian Wardlow, Yared Bayissa, Tsegaye Tadesse, Mark Svoboda and M. V. Khire and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Shirishkumar Gedam

31 papers receiving 397 citations

Peers

Shirishkumar Gedam
Wanshu Nie United States
Sang-Il Lee South Korea
Mehdi Vazifedan United States
Farshid Felfelani United States
Shirishkumar Gedam
Citations per year, relative to Shirishkumar Gedam Shirishkumar Gedam (= 1×) peers Shoaib Ali

Countries citing papers authored by Shirishkumar Gedam

Since Specialization
Citations

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

Fields of papers citing papers by Shirishkumar Gedam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirishkumar Gedam

This figure shows the co-authorship network connecting the top 25 collaborators of Shirishkumar Gedam. A scholar is included among the top collaborators of Shirishkumar Gedam 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 Shirishkumar Gedam. Shirishkumar Gedam 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.
2.
Srinivas, K., et al.. (2023). Development of chlorophyll-a concentration estimation algorithm for turbid productive inland waters in India. Geocarto International. 38(1). 4 indexed citations
3.
Kumar, Vinay, et al.. (2023). Exploring the Association between Changing Crop Types and Water Scarcity: A Case Study over West-Central India. Climate. 11(5). 93–93. 6 indexed citations
4.
Lee, Han Soo, et al.. (2023). Enumerating and Modelling the Seasonal alterations of Surface Urban Heat and Cool Island: A Case Study over Indian Cities. SHILAP Revista de lepidopterología. 7(2). 38–38. 13 indexed citations
5.
Gedam, Shirishkumar, et al.. (2023). Impact of cyclone Ockhi on phytoplankton size classes structure in the Arabian Sea. International Journal of Remote Sensing. 45(23). 8686–8702. 1 indexed citations
6.
Lee, Han Soo, et al.. (2022). Impacts of future urbanization on urban microclimate and thermal comfort over the Mumbai metropolitan region, India. Sustainable Cities and Society. 79. 103703–103703. 77 indexed citations
7.
Gedam, Shirishkumar, et al.. (2021). Phenology of Phytoplankton Size Classes in the Arabian Sea. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 2 indexed citations
8.
Gedam, Shirishkumar, et al.. (2021). District Wise Comparative Analysis of Rainfall Trends in Konkan-Goa and Marathwada Meteorological Subdivision of India. Applied ecology and environmental sciences. 9(10). 885–894. 5 indexed citations
9.
Srinivas, K., Shirishkumar Gedam, & Arun B. Inamdar. (2021). A machine learning approach for deriving spectral absorption coefficients of optically active oceanic constituents. Computers & Geosciences. 155. 104879–104879. 7 indexed citations
10.
Wardlow, Brian, et al.. (2020). Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India. Remote Sensing. 12(13). 2091–2091. 65 indexed citations
11.
Srinivas, K., Shirishkumar Gedam, & Arun B. Inamdar. (2020). A neural network approach for deriving absorption coefficients of ocean water constituents from total light absorption and particulate absorption coefficients. Computers & Geosciences. 147. 104678–104678. 8 indexed citations
12.
Gedam, Shirishkumar, et al.. (2020). STUDY ON CYCLONE INDUCED PHYTOPLANKTON BLOOM IN THE ARABIAN SEA THROUGH GAP-FREE RECONSTRUCTED CHLOROPHYLL-A DATA. SHILAP Revista de lepidopterología. XLIII-B3-2020. 1391–1396. 2 indexed citations
13.
Shukla, Satyavati, et al.. (2019). Spatio-Temporal Analysis of Urban Heat Island Effect For Different Land Use Land Cover Pattern Over Pune Metropolitan Region,India. AGUFM. 2019. 1 indexed citations
14.
Gedam, Shirishkumar, et al.. (2019). Dense Stereo Matching Based on Multiobjective Fitness Function—A Genetic Algorithm Optimization Approach for Stereo Correspondence. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 3341–3353. 13 indexed citations
15.
Shukla, Satyavati & Shirishkumar Gedam. (2018). Assessing the impacts of urbanization on hydrological processes in a semi-arid river basin of Maharashtra, India. Modeling Earth Systems and Environment. 4(2). 699–728. 23 indexed citations
16.
Panda, Sampad Kumar, Shirishkumar Gedam, Girija Rajaram, S. Sripathi, & Ankush Bhaskar. (2015). Impact of the 15 January 2010 annular solar eclipse on the equatorial and low latitude ionosphere over the Indian region. Journal of Atmospheric and Solar-Terrestrial Physics. 135. 181–191. 24 indexed citations
17.
Panda, Sampad Kumar, Shirishkumar Gedam, & Girija Rajaram. (2014). Study of Ionospheric TEC from GPS observations and comparisons with IRI and SPIM model predictions in the low latitude anomaly Indian subcontinental region. Advances in Space Research. 55(8). 1948–1964. 59 indexed citations
18.
Shukla, Satyavati, M. V. Khire, & Shirishkumar Gedam. (2014). Monitoring Land Use/Land Cover Changes in a River Basin due to Urbanization using Remote Sensing and GIS Approach. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 949–953. 7 indexed citations
19.
Gedam, Shirishkumar, et al.. (2013). AREA BASED STEREO IMAGE MATCHING TECHNIQUE USING HAUSDORFF DISTANCE AND TEXTURE ANALYSIS. SHILAP Revista de lepidopterología. XXXVIII-3/W22. 109–114. 4 indexed citations
20.
Panda, Sampad Kumar & Shirishkumar Gedam. (2012). GPS derived spatial ionospheric total electron content variation over South-Indian latitudes during intense geomagnetic storms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8535. 85350B–85350B. 5 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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