Angelina Geetha

659 total citations
71 papers, 372 citations indexed

About

Angelina Geetha is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Angelina Geetha has authored 71 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 15 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Angelina Geetha's work include Genetics and Plant Breeding (13 papers), Agricultural Practices and Plant Genetics (12 papers) and Agricultural pest management studies (8 papers). Angelina Geetha is often cited by papers focused on Genetics and Plant Breeding (13 papers), Agricultural Practices and Plant Genetics (12 papers) and Agricultural pest management studies (8 papers). Angelina Geetha collaborates with scholars based in India, Poland and Taiwan. Angelina Geetha's co-authors include G. M. Nasira, P. Saidaiah, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Samrat Ray, Mahyudin Ritonga, J. Suresh, Dharmashankar Subramanian, Latha Parthiban and P. V. Rao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Quality and International Journal of Information Technology.

In The Last Decade

Angelina Geetha

59 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelina Geetha India 9 125 81 70 44 41 71 372
Juan Frausto–Solís Mexico 11 167 1.3× 92 1.1× 64 0.9× 36 0.8× 50 1.2× 75 523
S. Sridevi Malaysia 7 72 0.6× 92 1.1× 42 0.6× 21 0.5× 56 1.4× 22 343
Jing Hua China 11 159 1.3× 60 0.7× 40 0.6× 28 0.6× 36 0.9× 34 448
Pingzeng Liu China 11 157 1.3× 37 0.5× 49 0.7× 28 0.6× 54 1.3× 45 374
David Camilo Corrales Colombia 13 159 1.3× 78 1.0× 49 0.7× 15 0.3× 13 0.3× 40 404
Raden Venantius Hari Ginardi Indonesia 10 77 0.6× 98 1.2× 33 0.5× 11 0.3× 15 0.4× 99 387
Ashraf Darwish Egypt 10 250 2.0× 106 1.3× 15 0.2× 15 0.3× 50 1.2× 27 564
Mahmudul Hasan Bangladesh 9 44 0.4× 69 0.9× 50 0.7× 10 0.2× 32 0.8× 36 299
Agus Buono Indonesia 9 42 0.3× 79 1.0× 14 0.2× 22 0.5× 17 0.4× 90 291
Leisa Armstrong Australia 15 439 3.5× 129 1.6× 26 0.4× 54 1.2× 14 0.3× 62 785

Countries citing papers authored by Angelina Geetha

Since Specialization
Citations

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

Fields of papers citing papers by Angelina Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelina Geetha

This figure shows the co-authorship network connecting the top 25 collaborators of Angelina Geetha. A scholar is included among the top collaborators of Angelina Geetha 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 Angelina Geetha. Angelina Geetha 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.
Geetha, Angelina, et al.. (2023). Underutilized vegetables crops for improved nutrition and health: A review. 3(4). 1 indexed citations
3.
Geetha, Angelina, et al.. (2023). Analyzing the Effect of Artificial Intelligence Technology on Learning English Language. 1–7. 1 indexed citations
4.
Saidaiah, P., et al.. (2021). Evaluation of qualitative traits in tomato (Solanum lycopersicum L.) Germplasm. Journal of Pharmacognosy and Phytochemistry. 10(1). 2050–2054. 1 indexed citations
5.
Geetha, Angelina, et al.. (2019). Variability of physiological and yield parameters of castor genotypes under rainfed conditions. Journal of Pharmacognosy and Phytochemistry. 8(1). 197–199.
6.
Saidaiah, P., et al.. (2018). Effect of sowing dates on yield and growth of indeterminate tomato varieties under poly house conditions. Journal of Pharmacognosy and Phytochemistry. 7(2). 880–882. 3 indexed citations
7.
Saidaiah, P., et al.. (2018). Genetic variability for growth, pod and quality attributes in germplasm of cluster bean [Cyamopsis tetragonoloba (L.) Taub.]. Legume Research - An International Journal. 42(5). 620–624. 6 indexed citations
8.
Saidaiah, P., et al.. (2018). Study of qualitative traits of germplasm of tomato (Solanum lycopersicum L.). Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 7(6). 539–543.
9.
Saidaiah, P., et al.. (2018). Correlation and path coefficient analysis in tomato (Solanum lycopersicum L.). Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 7(5). 2748–2751. 1 indexed citations
10.
Saidaiah, P., et al.. (2018). Oxygen requirement of dolichos bean bruchids at different stages of its life cycle. Journal of Pharmacognosy and Phytochemistry. 7(5). 2183–2185. 2 indexed citations
11.
Saidaiah, P., et al.. (2018). Correlation and path analysis in clusterbean (Cyamopsis tetragonoloba (L.)Taub). Journal of Pharmacognosy and Phytochemistry. 7(5). 1233–1239. 1 indexed citations
12.
Saidaiah, P., et al.. (2017). Study on character association and path analysis in brinjal (Solanum melongena L.). Journal of Pharmacognosy and Phytochemistry. 6(6). 393–397. 7 indexed citations
13.
Saidaiah, P., et al.. (2017). Correlation and path coefficient analysis of yield and yield attributes in tomato (Solanum lycopersicum L.). Journal of Pharmacognosy and Phytochemistry. 6(6). 665–669. 3 indexed citations
14.
Saravanan, M., et al.. (2016). Impact of Motivational Techniques in E-learning/Web Learning Environment. 6(1). 15–18.
15.
Lakshmanan, Ramanathan, et al.. (2016). Student Performance Prediction Model Based on Lion-Wolf Neural Network. International journal of intelligent engineering and systems. 10(1). 114–123. 7 indexed citations
16.
Geetha, Angelina & G. M. Nasira. (2016). Time series modeling and forecasting: Tropical cyclone prediction using ARIMA model. International Conference on Computing for Sustainable Global Development. 3080–3086. 7 indexed citations
17.
Geetha, Angelina, J. Suresh, & P. Saidaiah. (2012). Study on response of sunflower (Helianthus annuus L.) genotypes for root and yield characters under water stress.. Current biotica. 6(1). 32–41. 8 indexed citations
18.
Geetha, Angelina, et al.. (2012). Screening of sunflower genotypes for drought tolerance under laboratory conditions using PEG.. SABRAO Journal of Breeding and Genetics. 44(1). 28–41. 7 indexed citations
19.
Suresh, J., et al.. (2012). Heterosis for grain yield and its component traits in maize (Zea mays L.).. The Journal of Research ANGRAU. 40(1). 83–90. 6 indexed citations
20.
Geetha, Angelina, et al.. (2009). Effect of organic and inorganic fertilizers on macro and micro nutrient uptake, oil content, quality and herbage yield in sweet basil (Ocimum basilicum).. Research on Crops. 10(3). 740–742. 8 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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