Divyani Kohli

1.2k total citations
27 papers, 849 citations indexed

About

Divyani Kohli is a scholar working on Global and Planetary Change, Media Technology and Atmospheric Science. According to data from OpenAlex, Divyani Kohli has authored 27 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 16 papers in Media Technology and 8 papers in Atmospheric Science. Recurrent topics in Divyani Kohli's work include Land Use and Ecosystem Services (18 papers), Remote-Sensing Image Classification (16 papers) and Remote Sensing and Land Use (8 papers). Divyani Kohli is often cited by papers focused on Land Use and Ecosystem Services (18 papers), Remote-Sensing Image Classification (16 papers) and Remote Sensing and Land Use (8 papers). Divyani Kohli collaborates with scholars based in Netherlands, Australia and Austria. Divyani Kohli's co-authors include Richard Sliuzas, Alfred Stein, Norman Kerle, Monika Kuffer, Jiong Wang, Javier Martínez, Karin Pfeffer, Claudio Persello, Michael Nagenborg and Simon Jones and has published in prestigious journals such as The Science of The Total Environment, Landscape and Urban Planning and Remote Sensing.

In The Last Decade

Divyani Kohli

27 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divyani Kohli Netherlands 15 518 318 185 166 151 27 849
Jorge E. Patiño Colombia 13 499 1.0× 161 0.5× 130 0.7× 74 0.4× 133 0.9× 27 828
Andreas Felbier Germany 11 692 1.3× 298 0.9× 305 1.6× 38 0.2× 276 1.8× 22 1.1k
Basudeb Bhatta India 9 470 0.9× 75 0.2× 178 1.0× 72 0.4× 118 0.8× 13 643
Victor Mesev United States 13 532 1.0× 150 0.5× 195 1.1× 28 0.2× 162 1.1× 37 816
Ago Yeh Hong Kong 13 329 0.6× 146 0.5× 205 1.1× 69 0.4× 82 0.5× 51 773
Michael Wiesner Germany 5 427 0.8× 124 0.4× 160 0.9× 33 0.2× 116 0.8× 7 556
Neema Simon Sumari Tanzania 10 407 0.8× 68 0.2× 96 0.5× 124 0.7× 85 0.6× 20 605
Tarek Rashed India 12 518 1.0× 173 0.5× 175 0.9× 32 0.2× 247 1.6× 21 892
Ferri Stefano Italy 10 531 1.0× 187 0.6× 156 0.8× 18 0.1× 161 1.1× 24 768
Ola Hall Sweden 16 511 1.0× 148 0.5× 141 0.8× 34 0.2× 151 1.0× 38 1.0k

Countries citing papers authored by Divyani Kohli

Since Specialization
Citations

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

Fields of papers citing papers by Divyani Kohli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divyani Kohli

This figure shows the co-authorship network connecting the top 25 collaborators of Divyani Kohli. A scholar is included among the top collaborators of Divyani Kohli 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 Divyani Kohli. Divyani Kohli 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.
Elmes, Arthur, Hamed Alemohammad, K. K. Caylor, et al.. (2020). Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote Sensing. 12(6). 1034–1034. 70 indexed citations
3.
Kuffer, Monika, et al.. (2020). Analysing Urban Development Patterns in a Conflict Zone: A Case Study of Kabul. Remote Sensing. 12(21). 3662–3662. 18 indexed citations
4.
Marshall, Michael, Sophie Crommelinck, Divyani Kohli, et al.. (2019). Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery. Remote Sensing. 11(18). 2082–2082. 20 indexed citations
5.
Kohli, Divyani, Monika Kuffer, & Caroline Gevaert. (2019). The Generic Slum Ontology: Can a Global Slum Repository be created?. University of Twente Research Information. 1–4. 5 indexed citations
6.
Wang, Jiong, Monika Kuffer, Richard Sliuzas, & Divyani Kohli. (2018). The exposure of slums to high temperature: Morphology-based local scale thermal patterns. The Science of The Total Environment. 650(Pt 2). 1805–1817. 35 indexed citations
7.
Kuffer, Monika, Jiong Wang, Michael Nagenborg, et al.. (2018). The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator. ISPRS International Journal of Geo-Information. 7(11). 428–428. 72 indexed citations
8.
Kohli, Divyani, et al.. (2018). Validation of a cadastral map created using satellite imagery and automated feature extraction techniques: A case of Nepal. Swinburne Research Bank (Swinburne University of Technology). 8 indexed citations
9.
Jones, Simon, et al.. (2018). Mapping informal settlement indicators using object-oriented analysis in the Middle East. International Journal of Digital Earth. 12(7). 802–824. 32 indexed citations
10.
Kuffer, Monika, et al.. (2018). Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection. European Journal of Remote Sensing. 51(1). 838–849. 14 indexed citations
11.
Kuffer, Monika, et al.. (2017). Coupling Uncertainties with Accuracy Assessment in Object-Based Slum Detections, Case Study: Jakarta, Indonesia. Remote Sensing. 9(11). 1164–1164. 43 indexed citations
12.
Crommelinck, Sophie, C. Lemmen, Divyani Kohli, Rohan Bennett, & Mila Koeva. (2017). Object-based image analysis for cadastral mapping using satellite images. University of Twente Research Information. 30. 33–33. 5 indexed citations
13.
Kohli, Divyani, Sophie Crommelinck, Rohan Bennett, et al.. (2017). Object-based image analysis for cadastral mapping using satellite images. University of Twente Research Information. 10427. 1 indexed citations
14.
Kuffer, Monika, et al.. (2016). Robustness of rule sets using VHR imagery to detect informal settlements: a case of Mumbai, India. University of Twente Research Information. 5 indexed citations
15.
Kuffer, Monika, et al.. (2016). Uncertainties in analyzing the transferability of the generic slum ontology. University of Twente Research Information. 3 indexed citations
16.
Kohli, Divyani, Richard Sliuzas, & Alfred Stein. (2016). Urban slum detection using texture and spatial metrics derived from satellite imagery. Journal of Spatial Science. 61(2). 405–426. 71 indexed citations
17.
Kohli, Divyani, et al.. (2013). Transferability of Object-Oriented Image Analysis Methods for Slum Identification. Remote Sensing. 5(9). 4209–4228. 81 indexed citations
18.
Kohli, Divyani, Norman Kerle, & Richard Sliuzas. (2012). Local ontologies for object-based slum identification and classification. University of Twente Research Information. 201–205. 7 indexed citations
19.
Kohli, Divyani, Richard Sliuzas, Norman Kerle, & Alfred Stein. (2011). An ontology of slums for image-based classification. Computers Environment and Urban Systems. 36(2). 154–163. 215 indexed citations
20.
Kohli, Divyani, et al.. (2011). Spatial Metrics to Analyse the Impact of Regional Factors on Pattern of Urbanisation in Gurgaon, India. Journal of the Indian Society of Remote Sensing. 39(2). 203–212. 17 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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