Spandana Gella

22 papers and 406 indexed citations i.

About

Spandana Gella is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Spandana Gella has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Spandana Gella’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (11 papers). Spandana Gella is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (11 papers). Spandana Gella collaborates with scholars based in United States, United Kingdom and Israel. Spandana Gella's co-authors include Frank Keller, Mirella Lapata, Patrick Lange, Song‐Chun Zhu and Dilek Hakkani-Tür and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Selected Topics in Signal Processing and Language Resources and Evaluation.

In The Last Decade

Fields of papers citing papers by Spandana Gella

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Spandana Gella. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Spandana Gella may publish in the future.

Countries citing papers authored by Spandana Gella

Since Specialization
Citations

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

Rankless by CCL
2025