Sumarga H. Suanda

30 total papers · 1.2k total citations
18 papers, 686 citations indexed

About

Sumarga H. Suanda is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Sumarga H. Suanda has authored 18 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Developmental and Educational Psychology, 4 papers in Artificial Intelligence and 3 papers in Education. Recurrent topics in Sumarga H. Suanda's work include Child and Animal Learning Development (13 papers), Language Development and Disorders (10 papers) and Reading and Literacy Development (6 papers). Sumarga H. Suanda is often cited by papers focused on Child and Animal Learning Development (13 papers), Language Development and Disorders (10 papers) and Reading and Literacy Development (6 papers). Sumarga H. Suanda collaborates with scholars based in United States, United Kingdom and Germany. Sumarga H. Suanda's co-authors include Linda B. Smith, Chen Yu, Elizabeth M. Brannon, Laura L. Namy, Klaus Libertus, Kerry Jordan, Henry A. Danso, Alexandra Sedlovskaya, Drew H. Abney and Katherine M. Walton and has published in prestigious journals such as Child Development, Trends in Cognitive Sciences and Cognition.

In The Last Decade

Sumarga H. Suanda

17 papers receiving 652 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sumarga H. Suanda	477	211	180	128	112	18	686
Alex Cherry Wilkinson	443 0.9×	171 0.8×	98 0.5×	239 1.9×	118 1.1×	23	711
Karrie E. Godwin	312 0.7×	148 0.7×	66 0.4×	220 1.7×	116 1.0×	35	605
Marvin W. Daehler	428 0.9×	136 0.6×	113 0.6×	146 1.1×	140 1.3×	35	610
Roberta Corrigan	534 1.1×	189 0.9×	58 0.3×	96 0.8×	145 1.3×	38	723
Veronica Laxon	536 1.1×	330 1.6×	133 0.7×	125 1.0×	91 0.8×	20	618
Kaja Kinga Jasińska	359 0.8×	302 1.4×	73 0.4×	140 1.1×	82 0.7×	43	712
Manon Jones	543 1.1×	439 2.1×	212 1.2×	147 1.1×	101 0.9×	33	746
Joan Lucariello	476 1.0×	159 0.8×	47 0.3×	150 1.2×	205 1.8×	27	737
Kathleen M. Cauley	432 0.9×	131 0.6×	55 0.3×	295 2.3×	120 1.1×	18	789
Lorraine Jensen	271 0.6×	144 0.7×	91 0.5×	117 0.9×	189 1.7×	14	725

Countries citing papers authored by Sumarga H. Suanda

Since Specialization

Citations

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

Fields of papers citing papers by Sumarga H. Suanda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumarga H. Suanda. 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 Sumarga H. Suanda. The network helps show where Sumarga H. Suanda may publish in the future.

Co-authorship network of co-authors of Sumarga H. Suanda

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

All Works

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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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