Ishika Singh

638 total citations · 1 hit paper
7 papers, 317 citations indexed

About

Ishika Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Soil Science. According to data from OpenAlex, Ishika Singh has authored 7 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Soil Science. Recurrent topics in Ishika Singh's work include Irrigation Practices and Water Management (2 papers), Multimodal Machine Learning Applications (2 papers) and Natural Language Processing Techniques (2 papers). Ishika Singh is often cited by papers focused on Irrigation Practices and Water Management (2 papers), Multimodal Machine Learning Applications (2 papers) and Natural Language Processing Techniques (2 papers). Ishika Singh collaborates with scholars based in United States. Ishika Singh's co-authors include Dieter Fox, Jesse Thomason, Valts Blukis, Animesh Garg, Danfei Xu, Arsalan Mousavian, Ankit Goyal, Jonathan Tremblay, Jiafei Duan and Ranjay Krishna and has published in prestigious journals such as Journal of Biological Chemistry, Autonomous Robots and Journal of Pharmacognosy and Phytochemistry.

In The Last Decade

Ishika Singh

5 papers receiving 304 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

2023 272 citations Ishika Singh, Valts Blukis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ishika Singh United States	3	167	115	93	26	24	7	317
Daniel Beßler Germany	6	135 0.8×	59 0.5×	108 1.2×	21 0.8×	28 1.2×	9	235
Mihai Pomarlan Germany	7	117 0.7×	72 0.6×	94 1.0×	16 0.6×	23 1.0×	25	219
Arthur Bucker United Kingdom	3	133 0.8×	96 0.8×	76 0.8×	11 0.4×	12 0.5×	3	252
Matteo Iovino Sweden	6	138 0.8×	42 0.4×	68 0.7×	14 0.5×	18 0.8×	9	211
Tim Niemueller Germany	7	88 0.5×	63 0.5×	79 0.8×	9 0.3×	17 0.7×	12	187
Jonathan Styrud Sweden	6	124 0.7×	41 0.4×	87 0.9×	11 0.4×	22 0.9×	9	224
Humbert Fiorino France	8	121 0.7×	32 0.3×	52 0.6×	10 0.4×	25 1.0×	26	204
Asil Kaan Bozcuoğlu Germany	8	140 0.8×	65 0.6×	123 1.3×	20 0.8×	12 0.5×	15	240
Damien Pellier France	8	118 0.7×	29 0.3×	51 0.5×	8 0.3×	25 1.0×	26	199
Rui Lin China	8	126 0.8×	130 1.1×	34 0.4×	20 0.8×	18 0.8×	35	268

Countries citing papers authored by Ishika Singh

Since Specialization

Citations

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

Fields of papers citing papers by Ishika Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishika Singh

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Singh, Ishika, et al.. (2025). Inefficient maturation of disease-linked mutant forms of the KCC2 potassium-chloride cotransporter correlates with predicted pathogenicity. Journal of Biological Chemistry. 301(4). 108399–108399. 1 indexed citations

2.

Singh, Ishika, et al.. (2024). THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation. 7 indexed citations

3.

Singh, Ishika, Valts Blukis, Arsalan Mousavian, et al.. (2023). ProgPrompt: program generation for situated robot task planning using large language models. Autonomous Robots. 47(8). 999–1012. 36 indexed citations

4.

Singh, Ishika, Valts Blukis, Arsalan Mousavian, et al.. (2023). ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. 11523–11530. 272 indexed citations breakdown →

5.

Singh, Ishika, et al.. (2020). Estimation runoff by using curve number (CN) method for Kaushambi micro-watershed, Allahabad region, Uttar Pradesh. Journal of Pharmacognosy and Phytochemistry. 9(2). 208–214. 1 indexed citations

6.

Singh, Ishika, et al.. (2018). Technology for production of edible grade de-oiled cake from groundnut and its diversified use in baked products. Journal of Pharmacognosy and Phytochemistry. 7(3). 1392–1397.

7.

Mishra, Himanshu, et al.. (2018). Performance evaluation of drip irrigation under high density planting of papaya. Journal of Pharmacognosy and Phytochemistry. 7(3). 2262–2270.

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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