Ankit Goyal

2.4k total citations · 1 hit paper
67 papers, 1.6k citations indexed

About

Ankit Goyal is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Ankit Goyal has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 14 papers in Electrical and Electronic Engineering and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Ankit Goyal's work include Magnetic and transport properties of perovskites and related materials (9 papers), Advanced Condensed Matter Physics (7 papers) and Advancements in Battery Materials (7 papers). Ankit Goyal is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (9 papers), Advanced Condensed Matter Physics (7 papers) and Advancements in Battery Materials (7 papers). Ankit Goyal collaborates with scholars based in India, United States and China. Ankit Goyal's co-authors include T. Venkatesan, M. Rajeswari, C. Kwon, R. Shreekala, Tim Boettcher, Dieter Fox, Arsalan Mousavian, Valts Blukis, R. Ramesh and Danfei Xu and has published in prestigious journals such as Applied Physics Letters, Journal of Cleaner Production and Journal of Materials Chemistry.

In The Last Decade

Ankit Goyal

62 papers receiving 1.6k citations

Hit Papers

ProgPrompt: Generating Situated Robot Task Plans using La... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Goyal India 22 664 471 445 251 243 67 1.6k
Diego B. Haddad Brazil 20 165 0.2× 173 0.4× 176 0.4× 183 0.7× 145 0.6× 107 1.0k
Sandip Bhattacharya India 28 294 0.4× 224 0.5× 930 2.1× 996 4.0× 68 0.3× 151 2.5k
Bandar Alzahrani Saudi Arabia 20 327 0.5× 70 0.1× 476 1.1× 367 1.5× 121 0.5× 76 1.5k
Bing Hu China 18 335 0.5× 84 0.2× 260 0.6× 216 0.9× 91 0.4× 50 1.3k
Chih‐Yung Chang Taiwan 18 180 0.3× 168 0.4× 167 0.4× 477 1.9× 56 0.2× 67 1.1k
Ruizhe Zhang China 22 638 1.0× 918 1.9× 476 1.1× 1.3k 5.0× 29 0.1× 140 2.1k
Deepak Kumar Panda India 21 206 0.3× 179 0.4× 358 0.8× 1.2k 4.6× 99 0.4× 123 1.7k
Teng Jiang China 18 145 0.2× 254 0.5× 298 0.7× 240 1.0× 58 0.2× 68 1.0k
Minh Tran Vietnam 19 109 0.2× 119 0.3× 238 0.5× 653 2.6× 125 0.5× 129 1.2k
Seema Verma India 20 276 0.4× 38 0.1× 434 1.0× 668 2.7× 66 0.3× 132 1.4k

Countries citing papers authored by Ankit Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Goyal. A scholar is included among the top collaborators of Ankit Goyal 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 Ankit Goyal. Ankit Goyal 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.
Mo, Kaichun, et al.. (2025). 3D-MVP: 3D Multiview Pretraining for Manipulation. 22530–22539.
2.
Goyal, Ankit, et al.. (2024). RVT-2: Learning Precise Manipulation from Few Demonstrations. 11 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.
Kumar, Rajender, et al.. (2023). Is MGNREGA Inclusive of Scheduled Caste/Scheduled Tribe and Women? A Case Study of Haryana, India. Contemporary Voice of Dalit. 2 indexed citations
5.
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 →
6.
Putungan, Darwin Barayang, Su Shaosen, Liang Gao, et al.. (2023). Prediction of sodium binding energy on 2D VS2via machine learning: a robust accompanying method to ab initio random structure searching. Physical Chemistry Chemical Physics. 25(21). 15008–15014. 2 indexed citations
8.
Lipson, Lahav, et al.. (2022). Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6718–6727. 40 indexed citations
9.
Chen, Siqi, Xiaodong Niu, Liang Gao, et al.. (2019). Multi‐objective optimization of lithium‐ion battery pack casing for electric vehicles: Key role of materials design and their influence. International Journal of Energy Research. 44(12). 9414–9437. 35 indexed citations
10.
Bhalerao, Yogesh, Ankit Goyal, Debkumar Chakrabarti, et al.. (2019). Computation of safety design indexes of industry vehicle operators based on the reach angle, the distance from elbow to ground and the popliteal height. International Journal of Industrial Ergonomics. 71. 155–164. 4 indexed citations
11.
Gopal, Ram, Ankit Goyal, Ajay Saini, et al.. (2018). Sol- gel synthesis of Ga2O3 nanorods and effect of precursor chemistry on their structural and morphological properties. Ceramics International. 44(16). 19099–19105. 24 indexed citations
12.
Gopal, Ram, et al.. (2018). Formation of nano-sized cubic zirconia by aqueous sol–gel route. Journal of the Australian Ceramic Society. 54(4). 691–700. 7 indexed citations
13.
Goyal, Ankit, Harsha Vardhan Simhadri, Bhargavi Paranjape, et al.. (2017). ProtoNN: compressed and accurate kNN for resource-scarce devices. 1331–1340. 62 indexed citations
14.
Goyal, Ankit, et al.. (2016). Bayesian detection of leaks in gas distribution networks. 855–860. 5 indexed citations
15.
Goyal, Ankit, Naveen Kumar, Tanaya Guha, & Shrikanth Narayanan. (2016). A multimodal mixture-of-experts model for dynamic emotion prediction in movies. Warwick Research Archive Portal (University of Warwick). 2822–2826. 21 indexed citations
16.
Goyal, Ankit, et al.. (2012). Synthesis of CdS Nanoparticle and Reveal Its Effect on Reproductive System of Male Albino Rats. BioNanoScience. 3(1). 58–66. 3 indexed citations
17.
Goyal, Ankit, et al.. (2012). Sononanoengineered magnesium–polypyrrole hybrid capsules with synergetic trigger release. Journal of Materials Chemistry. 22(27). 13841–13841. 26 indexed citations
19.
Kim, Kyungjin, D. P. Norton, D. K. Christen, et al.. (2008). Epitaxial (La,Sr)TiO3 on textured Ni–W as a conductive buffer architecture for high temperature superconducting coated conductor. Physica C Superconductivity. 468(13). 961–967. 2 indexed citations
20.
DeLuca, J. A., et al.. (1993). Progress in the development of the silver-addition process for preparing textured ``1223`` Tl-Ca-Ba-Cu-oxide thick films. University of North Texas Digital Library (University of North Texas). 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026